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\citation{VariableHostPathogen}
\citation{SpolDB4}
\@writefile{toc}{\contentsline {section}{\numberline {1}Motivation and Goal}{1}}
\@writefile{toc}{\contentsline {section}{\numberline {2}Methods}{1}}
\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces Clustering framework of MTBC strains.\relax }}{1}}
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\newlabel{ClusterAnalysisProcess}{{1}{1}}
\bibstyle{IEEEtran}
\bibdata{ComputationalClusterValidationBib}
\bibcite{VariableHostPathogen}{1}
\bibcite{SpolDB4}{2}
\@writefile{lot}{\contentsline {table}{\numberline {1}{\ignorespaces Number of SpolDB4 families and number of tensor clusters for each major lineage. F-measure and best-match stability values assess the agreement of the sublineages to the SpolDB4 families and the certainty of tensor sublineages respectively.\relax }}{2}}
\newlabel{SummaryOfResults}{{1}{2}}
\@writefile{lof}{\contentsline {figure}{\numberline {2}{\ignorespaces Biomarker kernel matrix $\mathaccentV {vec}17E{s} \otimes \mathaccentV {vec}17E{m}$ for each strain forms multiple-biomarker tensor. $\mathaccentV {vec}17E{s}$ represents spoligotype deletions and $\mathaccentV {vec}17E{m}$ represents MIRU patterns.\relax }}{2}}
\newlabel{MultipleBiomarkerTensor}{{2}{2}}
\@writefile{toc}{\contentsline {section}{\numberline {3}Results}{2}}
\@writefile{toc}{\contentsline {section}{\numberline {4}Conclusion}{2}}
\@writefile{lof}{\contentsline {figure}{\numberline {3}{\ignorespaces PCA plot of clustering, spoligotype signatures and MIRU signatures of tensor sublineages of \emph  {M. africanum} strain dataset.\relax }}{2}}
\newlabel{Mafricanum_MarkerSignature}{{3}{2}}
\@writefile{toc}{\contentsline {section}{References}{2}}
